SOURCE-LINKED INTELLIGENCE

AN ARTIFICIAL INTELLIGENCE APPROACH TO UNDERSTANDING TRADE-OFFS IN EMERGENCY DEPARTMENT DECISION-MAKING - PROJECT SUMMARY EMERGENCY DEPARTMENT (ED) DECISION-MAKING IS INHERENTLY COMPLEX, INFLUENCED BY UNCERTAINTY, TIME P

USAspending · observation · Publication date unknown

AN ARTIFICIAL INTELLIGENCE APPROACH TO UNDERSTANDING TRADE-OFFS IN EMERGENCY DEPARTMENT DECISION-MAKING - PROJECT SUMMARY EMERGENCY DEPARTMENT (ED) DECISION-MAKING IS INHERENTLY COMPLEX, INFLUENCED BY UNCERTAINTY, TIME PRESSURE, AND HIGH-STAKES CONSEQUENCES. ED CROWDING EXACERBATES THESE CHALLENGES BY INCREASING DISTRACTIONS AND COGNITIVE LOAD, OFTEN LEADING TO SUBOPTIMAL DECISIONS AND ADVERSE OUTCOMES. TRIAGE NURSES ARE TYPICALLY THE FIRST POINT OF CONTACT FOR MEDICAL NEEDS ASSESSMENT. FOR EXAMPLE, THEIR ROLE IN PRIORITIZING PATIENTS IS ONE OF THE MOST CONSEQUENTIAL DECISIONS, YET CURRENT TRI

Read original source ↗ Open in workspace

recordType

award

region

US

value

3030895

unit

USD